A Bayesian Framework for Measuring Association and Its Application to Emotional Dynamics in Web Discourse.
Henrique S. Xavier|Diogo Cortiz|Mateus Silvestrin|Ana Luísa Freitas|Letícia Yumi Nakao Morello|Fernanda Naomi Pantaleão|Gabriel Gaudencio do Rêgo
| Anthology ID: | DBLP:conf/www/XavierCSFMPR24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1450-1458 |
| URL: | https://doi.org/10.1145/3589335.3651911 |
| DOI: | https://doi.org/10.1145/3589335.3651911 |
| DBLP: | conf/www/XavierCSFMPR24 |
| BibTeX: |
@inproceedings{xavier-2024-bayesian,
author = {Henrique S. Xavier and
Diogo Cortiz and
Mateus Silvestrin and
Ana Lu\'{i}sa Freitas and
Let\'{i}cia Yumi Nakao Morello and
Fernanda Naomi Pantale\~{a}o and
Gabriel Gaudencio do R\^{e}go},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{A Bayesian Framework for Measuring Association and Its Application to Emotional Dynamics in Web Discourse}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {1450--1458},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651911},
doi = {https://doi.org/10.1145/3589335.3651911}
}